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LRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning.


ABSTRACT: Linked-read sequencing, using highly-multiplexed genome partitioning and barcoding, can span hundreds of kilobases to improve de novo assembly, haplotype phasing, and other applications. Based on our analysis of 14 datasets, we introduce LRSim that simulates linked-reads by emulating the library preparation and sequencing process with fine control over variants, linked-read characteristics, and the short-read profile. We conclude from the phasing and assembly of multiple datasets, recommendations on coverage, fragment length, and partitioning when sequencing genomes of different sizes and complexities. These optimizations improve results by orders of magnitude, and enable the development of novel methods. LRSim is available at https://github.com/aquaskyline/LRSIM.

SUBMITTER: Luo R 

PROVIDER: S-EPMC5711661 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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LRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning.

Luo Ruibang R   Sedlazeck Fritz J FJ   Darby Charlotte A CA   Kelly Stephen M SM   Schatz Michael C MC  

Computational and structural biotechnology journal 20171109


Linked-read sequencing, using highly-multiplexed genome partitioning and barcoding, can span hundreds of kilobases to improve <i>de novo</i> assembly, haplotype phasing, and other applications. Based on our analysis of 14 datasets, we introduce LRSim that simulates linked-reads by emulating the library preparation and sequencing process with fine control over variants, linked-read characteristics, and the short-read profile. We conclude from the phasing and assembly of multiple datasets, recomme  ...[more]

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